Early detection of malignant and pre-malignant peripheral nerve tumors using cell-free DNA fragmentomics
Sundby, R. T.; Szymanski, J. J.; Pan, A.; Jones, P. A.; Mahmood, S. Z.; Reid, O. H.; Srihari, D.; Armstrong, A. E.; Chamberlain, S.; Burgic, S.; Weekley, K.; Murray, B.; Patel, S.; Lucas, A. N.; Fagan, M.; Dufek, A.; Meyer, C. F.; Collins, N. B.; Van Tine, B. A.; Dombi, E.; Gross, A. M.; Kim, A.; Chrisinger, J. S. A.; Dehner, C. A.; Widemann, B. C.; Hirbe, A. C.; Chaudhuri, A. A.; Shern, J. F.
Show abstract
Early detection of neurofibromatosis type 1 (NF1) associated peripheral nerve sheath tumors (PNST) informs clinical decision-making, potentially averting deadly outcomes. Here, we describe a cell-free DNA (cfDNA) fragmentomic approach which distinguishes non-malignant, pre-malignant and malignant forms of NF1 PNST. Using plasma samples from a novel cohort of 101 NF1 patients and 21 healthy controls, we validated that our previous cfDNA copy number alteration (CNA)-based approach identifies malignant peripheral nerve sheath tumor (MPNST) but cannot distinguish among benign and premalignant states. We therefore investigated the ability of fragment-based cfDNA features to differentiate NF1-associated tumors including binned genome-wide fragment length ratios, end motif analysis, and non-negative matrix factorization deconvolution of fragment lengths. Fragmentomic methods were able to differentiate pre-malignant states including atypical neurofibromas (AN). Fragmentomics also adjudicated AN cases suspicious for MPNST, correctly diagnosing samples noninvasively, which could have informed clinical management. Overall, this study pioneers the early detection of malignant and premalignant peripheral nerve sheath tumors in NF1 patients using plasma cfDNA fragmentomics. In addition to screening applications, this novel approach distinguishes atypical neurofibromas from benign plexiform neurofibromas and malignant peripheral nerve sheath tumors, enabling more precise clinical diagnosis and management.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Tertiary Lymphoid Structures Sustain Cutaneous B cell Activity in Hidradenitis Suppurativa 92%
- An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations 92%
- AI-assisted Discovery of an Ethnicity-influenced Driver of Cell Transformation in Esophageal and Gastroesophageal Junction Adenocarcinomas 91%
Similar papers in this journal
Similar papers in this journal
- Evaluating the transcriptional fidelity of cancer models 94%
- Deconvolution of Cell Type-Specific Drug Responses in Human Tumor Tissue with Single-Cell RNA-seq 93%
- Spatial transcriptomic analysis of Sonic Hedgehog Medulloblastoma identifies that the loss of heterogeneity and promotion of differentiation underlies the response to CDK4/6 inhibition 93%
Similar papers in this journal
- Germline predisposition to pediatric Ewing sarcoma is uniquely characterized by inherited pathogenic variants in DNA damage repair genes 93%
- Impact of genome build on RNA-seq interpretation and diagnostics 93%
- Dystonia-specific mutations in THAP1 alter transcription of genes associated with neurodevelopment and myelin 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.